Factor analysis of Carpal Tunnel Syndrome Questionnaire in relation to nerve conduction studies
Highlights
► Based on factor analysis, the variance of Boston Carpal Tunnel Syndrome Questionnaire can be represented by three separate factors: functional status (factor one), sensory symptoms (factor two) and pain (factor three). ► Questions relating to numbness and tingling (factor two) had a strong and direct statistical correlation with sensory and motor distal latencies of the median nerve. ► Questions related to sensory symptoms are most useful to determine the severity of disease of Carpal Tunnel Syndrome and to evaluate outcomes.
Introduction
Carpal Tunnel Syndrome (CTS) is a common complaint in primary setting with 4% estimated prevalence in general population (Atroshi et al., 1999). Diagnosis relies on clinical examination and nerve conduction studies (NCS), although these studies are not essential for CTS case definition. In addition to an accurate diagnosis, it is important to know the severity of CTS, which is based on NCS and clinical scales. Boston Carpal Tunnel Syndrome Questionnaire (BCTQ) is a patient-perception-of-disease scale, which assesses the severity of hand symptoms and the functional impairment in both clinical and epidemiological scenarios (Levine et al., 1993). The questionnaire has shown reliability and sensitivity to change and has been validated in several languages. It has also been used as a tool for assessing the effect of different treatments on CTS. Nevertheless, factor structure (which is part of construct validity) has not been completely examined (Leite et al., 2006). Factor analysis is a statistical method that analyzes relationships among variables (i.e. questions of a questionnaire) and how these variables belong to a common underlying dimension (factor). Each dimension may be evaluated separately and its validity may be compared with some other variable (i.e. NCS).
Factor analysis is a statistical method that has been used in the study of many neuromuscular diseases. It has taken part, for example, in the assessment of internal consistency of functional scales of patients with motor neuron disease (Cedarbaum et al., 1999, Campos et al., 2010), as well as in the assessment of relevant complaints in patients with diabetic polyneuropathy and its relation with neurophysiological abnormalities (Valk et al., 1994). In CTS, factor analysis has been used to differentiate and classify symptoms (You et al., 1999).
The objective of this study was to evaluate the factor structure (different factors) underlying the BCTQ and its relation to nerve conduction studies (NCS). We hypothesize that the factor structure of BCTQ may identify those questions that are more relevant for diagnosis of CTS.
Section snippets
Materials and methods
Subjects were recruited from patients referred to the Laboratory of Neurophysiology at Clínica Carlos Lleras Restrepo, Bogotá – Colombia, from March 2005 to March 2006, who were under suspicion of CTS. The study was approved by the Committee on Clinical Research, School of Medicine, Universidad Nacional de Colombia. Before NCS, all patients were interviewed with the BCTQ Spanish version. The questionnaire comprises 19 questions that assess two domains, namely functional impairment and severity
Demographic characteristics of patients are shown in Table 1
Kaiser–Meyer–Olkin (KMO) was 0.91, which suggests that variables are correlated and factor analysis is appropriate for our data. Electrophysiological variables and BCTQ scores did not show a normal distribution. Factor analysis shows that the most appropriate approach is to use three factors. Less than three factors would represent a small part of the variance and more would not represent a parsimonious analysis (one of the conditions of factor analysis is that phenomena must be explained with
Discussion
This study shows that the variance of BCTQ could be represented by three separate factors that could be roughly divided into questions related to functional status (factor one), sensory symptoms (factor two) and pain (factor three). The correlation of BCTQ with NCS (criterion validity) for sensory and motor NCS is different for each domain. The evidence is that questions related to numbness and tingling (factor two) from the symptom domain had a strong and direct statistical correlation with
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